Unknown

Dataset Information

0

Does Biosimilar Bevacizumab Offer Affordable Treatment Options for Cancer Patients in the USA? A Budget Impact Analysis from US Commercial and Medicare Payer Perspectives.


ABSTRACT:

Background

Bevacizumab remains the most widely used and most thoroughly characterized angiogenesis inhibitor for a range of advanced cancers. Bevacizumab-bvzr (Zirabev®), a biosimilar of bevacizumab, was recently approved by the US Food and Drug Administration (FDA), which provides a less costly option. This study aimed to evaluate the financial impact of introducing bevacizumab-bvzr from US commercial and Medicare payer perspectives.

Methods

A Microsoft Excel-based budget impact model was developed over a 5-year time horizon. Target population was patients to be treated with bevacizumab for FDA-approved indications. Drug costs (2020 US$) were based on average sales price and wholesale acquisition cost, accounting for payer-specific reimbursement models and provider settings. Drug dosing and duration were based on prescribing information and pivotal trial publications.

Results

In a hypothetical 10-million-member health plan, 503 and 723 patients were estimated to be treated with bevacizumab in year 1 and year 5, respectively. Assuming an annual market shift of 1.7%, 3.6%, 6.7%, 9.4%, and 11.9% to bevacizumab-bvzr, an annual cost saving of $313,363 ($0.003 per member per month [PMPM]) was estimated for a commercial payer and $92,880 ($0.001 PMPM) for Medicare in year 1. Cumulative 5-year cost savings were $7,030,924 ($0.012 PMPM) for a commercial payer and $4,059,257 ($0.007 PMPM) for Medicare. More than half of the cost savings was attributed to patients with metastatic colorectal cancer.

Conclusions

The introduction of biosimilar bevacizumab-bvzr was estimated to provide substantial cost savings for US payers, which would allow additional patients access to bevacizumab treatment.

SUBMITTER: Yang J 

PROVIDER: S-EPMC8270829 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC6850681 | biostudies-literature
| S-EPMC5867100 | biostudies-literature
| S-EPMC10755621 | biostudies-literature
| S-EPMC9015968 | biostudies-literature
| S-EPMC8800899 | biostudies-literature
| S-EPMC1370962 | biostudies-literature
| S-EPMC3893694 | biostudies-literature
| S-EPMC9985529 | biostudies-literature
| S-EPMC10962051 | biostudies-literature
| S-EPMC10825021 | biostudies-literature